Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 39 for “"document retrieval"”.
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Document Retrieval Systems
Made available in DSpace on 2014-12-10T19:07:00Z (GMT). No. of bitstreams: 1 7219876.pdf: 2833095 bytes, checksum: 02a11e17855bc93b1f31589df89c80f6 (MD5) Previous issue date: 1972
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Suffix Trees for Document Retrieval
… of Suffix Trees for full text indexing and retrieval. Typically suffix trees are built on a character level, where the tree records which characters follow each other character. By building suffix trees for documents based on words instead of characters, the resulting tree effectively …
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Mining patterns for document retrieval
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.
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Interaction harvesting for document retrieval
… to provide meaningful search terms for non-text documents. Unfortunately, such systems usually require the author to enter the keywords manually, a task that is commonly neglected, or is executed poorly. This thesis proposes an approach to document categorization called Interaction Harvesting, …
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An expert system for document retrieval
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1981.
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Subword-based approaches for spoken document retrieval
… explores approaches to the problem of spoken document retrieval (SDR), which is the task of automatically indexing and then retrieving relevant items from a large collection of recorded speech messages in response to a user specified natural language text query. We investigate the use of …
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A more efficient document retrieval method for TEXPROS
Document processing is a critical element of office automation. Through document classification, extraction and filing, documents are automatically placed into a knowledge base according to certain rules. Document retrieval is a process to get a document back according to a user's requirements and …
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Knowledge-based document retrieval with application to TEXPROS
Document retrieval in an information system is most often accomplished through keyword search. The common technique behind keyword search is indexing. The major drawback of such a search technique is its lack of effectiveness and accuracy. It is very common in a typical keyword search over the …
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Document retrieval based on a cognitive model of dialogue
… the volume of literature, problems arise in the retrieval of required information. Various retrieval strategies have been proposed, but most of that are not flexible enough for their users. Specifically, most of these systems assume that users know exactly what they are looking for before …
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Interactive query expansion and relevance feedback for document retrieval systems
… followed the idea of testing probabilistic retrieval techniques in an operational environment. The overall aim of this research was to investigate the process of interactive query expansion (IQE) from various points of view including effectiveness. The INSPEC database, on both Data-Star and …
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Implications of the inclusion of document retrieval systems as actors in a social network.
… include a nonhuman group member, specifically a document retrieval system. The importance of document retrieval systems as information sources, the changes in business environments that necessitates the use of information and communication technologies, and the attempts to make computer systems …
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Query expansion techniques for question answering
… is a technique used to boost performance of a document retrieval engine, such as those commonly found in question answering (QA) systems. Common methods of query expansion for Boolean keyword-based document retrieval engines include inserting query terms, such as alternate inflectional or …
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Natural Language Processing and Recommendation Engine for Stack Overflow Data
… classification is important for information retrieval and problem solving. We use natural language processing and collaborative filtering algorithms to build a recommendation engine for Stack Overflow tag predictions. Our pipeline consists of document retrieval (TF-IDF and HOTT), text …
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Exploiting Data Locality in Dynamic Web Applications
<p>The Internet has grown from a static document retrieval system to a dynamic medium where users are both consumers and producers of information. Users may experience above-average website latencies due to the physical distances information must travel. Because user satisfaction is related to a …
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Automating Accountability Mechanisms in the Judiciary System using Large Language Models
… capabilities in both structured and unstructured document retrieval tasks. We present the first work elaborating on the opportunities and challenges of using LLMs to provide accountability in two legal domains: bias in jury selection for criminal trials and housing eviction cases. We find that …
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Toward Entity-Aware Search
… pages, a significant departure from traditional document retrieval. We study the various essential aspects of supporting entity-aware Web search. To begin with, we tackle the core challenge of ranking entities, by distilling its underlying conceptual model Impression Model and developing a …
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Concept-value pair extraction from semi-structured clinical reports : a case study using echocardiogram reports
… from the system will ultimately be used in document and patient retrieval, preliminary analysis was done to evaluate document retrieval effectiveness. Median recall across the ten conditions was 36% (range, 0% to 93%). The system retrieved no documents for two of the ten conditions; median …
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WAQS : a web-based approximate query system
… Language is not suitable for the Web content retrieval. In this dissertation, a new technique for document retrieval on the Web is presented. This technique is designed to allow a detailed retrieval and hence reduce the amount of matches returned by typical search engines. The main objective …
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Personal long-term memory aids
… recording apparatuses are leading to increased documentation of our daily lives. This trend is bound to continue and it follows that academic, industry, and government groups are showing an increased interest in such endeavors for various purposes. In the present case, I assert that such …
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Concept Search: Semantics Enabled Information Retrieval
The goal of information retrieval (IR) is to map a natural language query, which specifies the user information needs, to a set of objects in a given collection, which meet these needs. Historically, there have been two major approaches to IR that we call syntactic IR and semantic IR. In syntactic …
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